Brand image and lexicographic analysis: an application to shopping malls

[EN] The concept of image in its different aspects is very important in today s society as well as in the business management field. Some authors reports that most of the studies that measure image do not take into account neither previous theoretical and conceptual models nor other possible empirical evidence alternatives. Given this need, a research regarding the concept of brand image applied to shopping malls was conducted based on the conceptual model of the consumer cognitive response in order to empirically explore and contrast it. For this reason, a survey was applied to 420 consumers in five shopping malls in Bogotá, achieving a database of 3.749 cases. The results show attribute-shopping mall associations expressed in unique, differentiated, and notorious vocabulary obtained applying lexicometric and multivariate analysis techniques. Attribute-shopping mall associations such as spacious , good location , good variety of stores , and the existence of movie theaters . Finally, this research aims to potentially improve the management of shopping malls and increase their attractiveness and customer loyalty by applying the development of service quality systems, integral communication, segmentation, and positioning.

Propuesta de actividades outdoor en los polideportivos del Gran Bilbao gestionados integralmente por la empresa Emtesport S.L.

Hoy en día se ha demostrado estudiando los hábitos deportivos de la gente que las personas prefieren practicar un deporte no reglado o federativo volcándose los practicantes hacia un deporte más libre, menos competitivo y con una flexibilidad mayor. Pero se ha podido ver como por lo general en los polideportivos no se ofrecen actividades que cumplan con estas características. Por eso este trabajo va enfocado a crear una propuesta innovadora relacionada con las actividades outdoor o actividades en el medio natural en los polideportivos de la comarca vizcaína del Gran Bilbao. Estas actividades se llevaran a cabo en los polideportivos que la empresa Emtesport S.L. tenga competencias administrativas y gestoras integrales. De esta manera se podrá fomentar una vía alternativa de practicar deporte y realizar ejercicio físico en diferentes municipios de la comarca. Estas actividades se llevaran a cabo mediante la empresa Emtesport S.L. porque siendo esta una empresa referente que ofrece diferentes servicios y gestiona muchas de las instalaciones de los municipios de Vizcaya será más fácil llegar con un mismo proyecto a un mayor número de usuarios que busquen una práctica esporádica. Es decir, creando un único proyecto con un cuadrante de horarios y de grupos adecuado servirá para aplicarlo en todos los polideportivos que gestiona Emtesport S.L. Además el hecho de aplicarlo en más de un polideportivo a la vez podrá ayudar a crear grupos con un número de gente suficiente. Fenómeno que no se conseguiría en muchos casos aplicando este proyecto en un único polideportivo o municipio. En un principio se optará por externalizar este servicio creando convenios entre empresas que se dedican en estos momentos a ofertar este tipo de actividades, pero viendo la viabilidad y éxito de estas actividades se intentara estudiar la posibilidad de crear una línea de servicios propia dentro de la empresa Emtesport S.L llevada a cabo por los recursos humanos especializados de esta. Las actividades con las que se emprenderá este proyecto serán en un principio actividades desarrolladas en el medio acuático, puesto que el hecho de que sea necesario el uso de material específico para la práctica de las mismas y que normalmente el público al que se quiere llegar no dispone de este material, creara una situación favorable para que esta idea tenga un éxito social y económico en el futuro. Por último cabe mencionar que entre las actividades que se llevaran a cabo en este proyecto se encuentran las siguientes: cursillos de surf y paddlesurf, buceo, cursillos de vela, wáter slackline y rutas en piragua.

Autopoiese e autoerotismo na transferência

Assumindo uma leitura histórica descontinuísta do pensamento de Freud e privilegiando nele a dimensão pulsional do psíquico, as intensidades e os afetos, o presente trabalho busca demonstrar a ocorrência de uma operação criadora que a transferência faz comparecer no entre-dois do encontro clínico. O sentido de operação criadora aqui adotado encontra-se na idéia de autopoiese, uma idéia extraída da biologia contemporânea na qual identificamos afinidades significativas com o conceito freudiano de autoerotismo, o modo de operar originário das pulsões. Retomando este conceito seminal de Freud e fazendo-o dialogar com a autopoiese do vivo demonstrada por Humberto Maturana e Francisco Varela, visamos repensar o autoerotismo dentro da teoria das pulsões, concebendo-o como aquilo que define essencialmente a maquínica pulsional e que, como tal, perpetua-se no sujeito como uma operação criadora contínua. Se o autoerotismo é o infantil pré-individual, pré-narcísico, que em nós se perpetua, é na transferência que ele se repete, potencializando um plano intensivo de parcialidades multiformes mediante o qual a clínica pode ser concebida como um processo de criação de novas formas de si, de novas modalidades de existência para um sujeito.

Pseudohypoparathyroidism Type Ib Associated with Novel Duplications in the GNAS Locus

Context Pseudohypoparathyroidism type 1b (PHP-Ib) is characterized by renal resistance to PTH (and, sometimes, a mild resistance to TSH) and absence of any features of Albright's hereditary osteodystrophy. Patients with PHP-Ib suffer of defects in the methylation pattern of the complex GNAS locus. PHP-Ib can be either sporadic or inherited in an autosomal dominant pattern. Whereas familial PHP-Ib is well characterized at the molecular level, the genetic cause of sporadic PHP-Ib cases remains elusive, although some molecular mechanisms have been associated with this subtype. Objective The aim of the study was to investigate the molecular and imprinting defects in the GNAS locus in two unrelated patients with PHP-Ib. Design We have analyzed the GNAS locus by direct sequencing, Methylation-Specific Multiplex Ligation-dependent Probe Amplification, microsatellites, Quantitative Multiplex PCR of Short Fluorescent fragments and array-Comparative Genomic Hybridization studies in order to characterize two unrelated families with clinical features of PHP-Ib. Results We identified two duplications in the GNAS region in two patients with PHP-Ib: one of them, comprising similar to 320 kb, occurred 'de novo' in the patient, whereas the other one, of similar to 179 kb in length, was inherited from the maternal allele. In both cases, no other known genetic cause was observed. Conclusion In this article, we describe the to-our-knowledge biggest duplications reported so far in the GNAS region. Both are associated to PHP-Ib, one of them occurring 'de novo' and the other one being maternally inherited.

Isquemia crítica en pacientes diabéticos ¿Es válida la nueva clasificación WIfI?

208 p.

Telenovela, folhetim eletrônico: tópicos para estudo da teleficção

O romance-folhetim, gênero que invadiu os rodapés dos jornais no século XIX e constituiu as bases de grandes clássicos da literatura, traz consigo marcas do melodrama, levando-o a ultrapassar os limites temporais do seu surgimento e se integrar aos recursos midiáticos e à performance teatral para dar origem a tramas que hoje se desenrolam diariamente na tela da televisão de milhares de telespectadores durante meses, em especial na América Latina. O romance-folhetim se perpetua através das telenovelas, principal representante da teleficção, que possui uma linguagem narrativa particular, mantendo as matrizes folhetinescas, e impondo-se como uma nova modalidade textual dentro do universo do entretenimento e da literatura industrial. Exemplo disso é a narrativa de Dancin days (1978), elencada como corpus para o estudo apresentado por essa dissertação, a fim de demonstrar a linha tênue que une a telenovela ao romance-folhetim, constituindo este uma matriz para as narrativas audiovisuais

Local distribution and abundance of swimming crabs (Callinectes spp. and Arenaeus cribrarius) on a tropical arid beach

Distribution, abundance, and several population features were studied in Ensenada de La Vela (Venezuela) between 1993 and 1998 as a first step in the assessment of local fisheries of swimming crabs. Arenaeus cribrarius was the most abundant species at the marine foreshore. Callinectes danae prevailed at the estuarine location. Callinectes bocourti was the most abundant species at the offshore. Abundances of A. cribrarius and C. danae fluctuated widely and randomly. Ovigerous females were almost absent. Adults of several species were smaller than previously reported. This study suggests that fisheries based on these swimming crabs probably will be restricted to an artisanal level because abundances appear too low to support industrial exploitation.

Data fusion approaches and applications for construction engineering

Data fusion can be defined as the process of combining data or information for estimating the state of an entity. Data fusion is a multidisciplinary field that has several benefits, such as enhancing the confidence, improving reliability, and reducing ambiguity of measurements for estimating the state of entities in engineering systems. It can also enhance completeness of fused data that may be required for estimating the state of engineering systems. Data fusion has been applied to different fields, such as robotics, automation, and intelligent systems. This paper reviews some examples of recent applications of data fusion in civil engineering and presents some of the potential benefits of using data fusion in civil engineering.

Improvements to Concrete Column Detection in Live Video

The automated detection of structural elements (e.g. concrete columns) in visual data is useful in many construction and maintenance applications. The research in this area is under initial investigation. The authors previously presented a concrete column detection method that utilized boundary and color information as detection cues. However, the method is sensitive to parameter selection, which reduces its ability to robustly detect concrete columns in live videos. Compared against the previous method, the new method presented in this paper reduces the reliance of parameter settings mainly in three aspects. First, edges are located using color information. Secondly, the orientation information of edge points is considered in constructing column boundaries. Thirdly, an artificial neural network for concrete material classification is developed to replace concrete sample matching. The method is tested using live videos, and results are compared with the results obtained with the previous method to demonstrate the new method improvements.

Comparison of Camera Motion Estimation Methods for 3D Reconstruction of Infrastructure

Camera motion estimation is one of the most significant steps for structure-from-motion (SFM) with a monocular camera. The normalized 8-point, the 7-point, and the 5-point algorithms are normally adopted to perform the estimation, each of which has distinct performance characteristics. Given unique needs and challenges associated to civil infrastructure SFM scenarios, selection of the proper algorithm directly impacts the structure reconstruction results. In this paper, a comparison study of the aforementioned algorithms is conducted to identify the most suitable algorithm, in terms of accuracy and reliability, for reconstructing civil infrastructure. The free variables tested are baseline, depth, and motion. A concrete girder bridge was selected as the "test-bed" to reconstruct using an off-the-shelf camera capturing imagery from all possible positions that maximally the bridge's features and geometry. The feature points in the images were extracted and matched via the SURF descriptor. Finally, camera motions are estimated based on the corresponding image points by applying the aforementioned algorithms, and the results evaluated.

Automated 3D Structure Inference of Civil Infrastructure Using a Stereo Camera Set

The commercial far-range (>10m) infrastructure spatial data collection methods are not completely automated. They need significant amount of manual post-processing work and in some cases, the equipment costs are significant. This paper presents a method that is the first step of a stereo videogrammetric framework and holds the promise to address these issues. Under this method, video streams are initially collected from a calibrated set of two video cameras. For each pair of simultaneous video frames, visual feature points are detected and their spatial coordinates are then computed. The result, in the form of a sparse 3D point cloud, is the basis for the next steps in the framework (i.e., camera motion estimation and dense 3D reconstruction). A set of data, collected from an ongoing infrastructure project, is used to show the merits of the method. Comparison with existing tools is also shown, to indicate the performance differences of the proposed method in the level of automation and the accuracy of results.

Generating the Sparse Point Cloud of a Civil Infrastructure Scene Using a Single Video Camera under Practical Constraints

Automating the model generation process of infrastructure can substantially reduce the modeling time and cost. This paper presents a method to generate a sparse point cloud of an infrastructure scene using a single video camera under practical constraints. It is the first step towards establishing an automatic framework for object-oriented as-built modeling. Motion blur and key frame selection criteria are considered. Structure from motion and bundle adjustment are explored. The method is demonstrated in a case study where the scene of a reinforced concrete bridge is videotaped, reconstructed, and metrically validated. The result indicates the applicability, efficiency, and accuracy of the proposed method.

Comparison of Image-Based and Time-of-Flight-Based Technologies for 3D Reconstruction of Infrastructure

Image-based (i.e., photo/videogrammetry) and time-of-flight-based (i.e., laser scanning) technologies are typically used to collect spatial data of infrastructure. In order to help architecture, engineering, and construction (AEC) industries make cost-effective decisions in selecting between these two technologies with respect to their settings, this paper makes an attempt to measure the accuracy, quality, time efficiency, and cost of applying image-based and time-of-flight-based technologies to conduct as-built 3D reconstruction of infrastructure. In this paper, a novel comparison method is proposed, and preliminary experiments are conducted. The results reveal that if the accuracy and quality level desired for a particular application is not high (i.e., error < 10 cm, and completeness rate > 80%), image-based technologies constitute a good alternative for time-of-flight-based technologies and significantly reduce the time and cost needed for collecting the data on site.

Sparsity-Inducing Optimization Algorithm for the Extraction of Planar Structures in Noisy Point-Cloud Data

Most of the manual labor needed to create the geometric building information model (BIM) of an existing facility is spent converting raw point cloud data (PCD) to a BIM description. Automating this process would drastically reduce the modeling cost. Surface extraction from PCD is a fundamental step in this process. Compact modeling of redundant points in PCD as a set of planes leads to smaller file size and fast interactive visualization on cheap hardware. Traditional approaches for smooth surface reconstruction do not explicitly model the sparse scene structure or significantly exploit the redundancy. This paper proposes a method based on sparsity-inducing optimization to address the planar surface extraction problem. Through sparse optimization, points in PCD are segmented according to their embedded linear subspaces. Within each segmented part, plane models can be estimated. Experimental results on a typical noisy PCD demonstrate the effectiveness of the algorithm.